Title :
A Fuzzy Rules and Wavelet Neural Network Method for Mid-long-term Electric Load Forecasting
Author :
Zhan, Qian ; Liu, Tongna
Author_Institution :
Dept. of Economic Manage., North China Electr. Power Univ., Baoding, China
Abstract :
This paper put forward a new method of the fuzzy rules and wavelet neural network model for mid-long term load forecasting. The neural call function is basis of nonlinear wavelets. We overcome the shortcoming of single train set of fuzzy rules. It can be seen from the example this method can improve effectively the forecast accuracy and speed. The forecast model was tested and the result showed that it was an effective way to forecast mid-long term electric load.
Keywords :
fuzzy set theory; load forecasting; power engineering computing; wavelet transforms; electric load forecasting; fuzzy rules; neural call function; nonlinear wavelets; wavelet neural network method; Fuzzy logic; Fuzzy neural networks; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Load forecasting; Neural networks; Power system modeling; Predictive models; Takagi-Sugeno model; electric Load Forecasting; fuzzy rule;
Conference_Titel :
Computer and Network Technology (ICCNT), 2010 Second International Conference on
Conference_Location :
Bangkok
Print_ISBN :
978-0-7695-4042-9
Electronic_ISBN :
978-1-4244-6962-8
DOI :
10.1109/ICCNT.2010.106